Téléchargez le livre : Energy Time Series Forecasting

Energy Time Series Forecasting

Efficient and Accurate Forecasting of Evolving Time Series from the Energy Domain

Éditeur :

Springer Vieweg

Paru le : 2015-08-06

Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre...
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Description du livre


Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting process is realized by a number of approaches on the logical as well as on the physical layer that we introduce in the course of this book.
Nominated for the Georg-Helm-Preis 2015 awarded by the Technische Universität Dresden.

À propos

Auteur
Lars Dannecker
Éditeur
Springer Vieweg
Collection
n.c
Parution
2015-08-06
Pages
231 pages
EAN papier
9783658110383

Auteur(s) du livre


Defaut-Illustration Lars Dannecker
Lars Dannecker holds a diploma in media computer science from the Technische Universität Dresden and is pursuing a doctorate as a member of the Database Technology Group led by Prof. Dr.-Ing. Wolfgang Lehner. 

Caractéristiques détaillées - droits

EAN PDF
9783658110390
Prix
52,74 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
7014 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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